Dr Natalie Karavarsamis
Academic, Research Data Scientist, Lecturer,
Professional Statistical Consultant, Programmer

@nataliekarav
n.karavarsamis@latrobe.edu.au
nkarav@unimelb.edu.au
Orcid: orcid.org/0000-0002-5920-9736
Natalie on ResearcGate

Curriculum Vitae (CV): click here for download.

Lecturer
Department of Mathematics and Statistics
La Trobe University
Melbourne, Victoria, Australia

Honorary Research Fellow
School of Mathematics and Statistics
University of Melbourne
Victoria, Australia


Roles


Announcements


My Events


Overview

Dr Natalie Karavarsamis is an experienced statistics researcher, data scientist, coder/programmer, lecturer and consultant. Currently Natalie is employed as Lecturer of Statistics at the Department of Mathematics and Statistics at La Trobe University. Natalie is also Honorary Research Fellow at the School of Mathematics and Statistics, University of Melbourne. Natalie serves as technical sub-editor on the Australian and New Zealand Journal of Statistics, and as reviewer on a number of international peer-reviewed journals. Natalie obtained her PhD in Statistics at School of Mathematics and Statistics, University of Melbourne. Prior to completing her PhD Natalie completed a Bachelor of Science Degree and a Bachelor of Science Honours Degree graduating with First Class Honours at University of Melbourne.

Previous academic roles comprise Lecturer at School of Mathematics and Statistics (University of Melbourne), Postdoctoral Research Fellow at School of Biosciences (University of Melbourne) and with School of Mathematical Sciences (RMIT), and Research Fellow at Department of Food and Land Sciences (prior to PhD candidature) (University of Melbourne).

Natalie’s research expertise is in statistical ecology, and in analysing and modelling large longitudinal biological data, genetic data, neuroscience and neuroepigenetic data, medical statistics and financial data.

Natalie is a world leader at developing methods, models and software with modern statistical approaches. For example, for occupancy data with partial likelihoods, conditional and composite likelihoods, GLMs, Gams, IWLS. As well circular statistics, cylindrical distributions and HMMs for large biological data. Natalie has developed R software; her two-stage package for modelling occupancy data (in release).

Natalie has forged global collaborations with Boston Children’s Hospital and Department of Neuroscience at Harvard University (USA), with Statify at INRIA University of Caen (France), and with the School of Biosciences at University of Melbourne, the University of Kent, and La Trobe University.

Natalie has twenty years industry statistical consulting experience and worked on large international industry projects for NGOs, national and international governments, and commercial industries and stakeholders (details in CV).

Natalie’s extensive publication record spans her career as a research academic, professional statistician and consultant (list of publications in CV). Natalie has taught statistics for more than two decades, at tertiary (undergraduate and postgraduate) and professional levels (details in CV). Currently, Natalie co-supervises two PhD candidates in Statistics, and has trained and supervised research assistants and supervises AMSI scholars.


Supervision

Available for Honours, Masters and PhD supervision.


Grants & Awards (selected)


Press & Gallery

2018 AMSI Choose Maths Day, La Trobe